Search results for "languages"

showing 10 items of 2101 documents

Free vs. Locally Free Kleinian Groups

2015

Abstract We prove that Kleinian groups whose limit sets are Cantor sets of Hausdorff dimension < < 1 are free. On the other hand we construct for any ε > > 0 an example of a non-free purely hyperbolic Kleinian group whose limit set is a Cantor set of Hausdorff dimension < < 1 + + ε.

[ MATH.MATH-GT ] Mathematics [math]/Geometric Topology [math.GT]0209 industrial biotechnologyPure mathematicsMathematics::Dynamical SystemsGeneral MathematicsMathematics::General TopologyGroup Theory (math.GR)02 engineering and technology01 natural sciencesMathematics - Geometric Topology020901 industrial engineering & automationDimension (vector space)[MATH.MATH-GT]Mathematics [math]/Geometric Topology [math.GT]FOS: MathematicsLimit (mathematics)topologia0101 mathematicsMathematicsApplied Mathematics010102 general mathematicsryhmäteoriaGeometric Topology (math.GT)16. Peace & justiceMathematics::Geometric TopologyKleinian groupsCantor setTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESHausdorff dimensionComputingMethodologies_DOCUMENTANDTEXTPROCESSINGLimit setMathematics - Group Theory
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Some Computational Aspects of DISTANCE-SAT

2007

In many AI fields, one must face the problem of finding a solution that is as close as possible to a given configuration. This paper addresses this problem in a propositional framework. We introduce the decision problem distance-sat, which consists in determining whether a propositional formula admits a model that disagrees with a given partial interpretation on at most d variables. The complexity of distance-sat and of several restrictions of it are identified. Two algorithms based on the well-known Davis/Logemann/Loveland search procedure for the satisfiability problem sat are presented so as to solve distance-sat for CNF formulas. Their computational behaviors are compared with the ones …

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Theoretical computer scienceComputational complexity theory0102 computer and information sciences02 engineering and technologyComputer Science::Computational Complexity01 natural sciences[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]#SATArtificial IntelligenceComputer Science::Logic in Computer ScienceDPLL algorithm0202 electrical engineering electronic engineering information engineeringComputingMilieux_MISCELLANEOUSMathematicsDecision problemFunction problemSatisfiabilityPropositional formulaTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESComputational Theory and Mathematics010201 computation theory & mathematics020201 artificial intelligence & image processingBoolean satisfiability problemAlgorithmSoftware
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How to Enrich Description Logics with Fuzziness

2017

International audience; The paper describes the relation between fuzzy and non-fuzzy description logics. It gives an overview about current research in these areas and describes the difference between tasks for description logics and fuzzy logics. The paper also deals with the transformation properties of description logics to fuzzy logics and backwards. While the process of transformation from a description logic to a fuzzy logic is a trivial inclusion, the other way of reducing information from fuzzy logic to description logic is a difficult task, that will be topic of future work.

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Theoretical computer science[ INFO ] Computer Science [cs]Relation (database)Process (engineering)Computer scienceMathematics::General Mathematics0102 computer and information sciences02 engineering and technology[INFO] Computer Science [cs]01 natural sciencesFuzzy logicTask (project management)[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Knowledge-based systemsFuzzy Description LogicDescription logicComputer Science::Logic in Computer Science0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Semantic WebSemantic WebUncertaintyTransformation (function)TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES010201 computation theory & mathematics020201 artificial intelligence & image processingComputingMethodologies_GENERALHardware_LOGICDESIGN
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Attempts to produce minimal Resolution refutations

2018

We address the challenge of searching minimal refutations proofs of inconsistent CNF formulae using the Resolution rule. We propose two algorithms which can only afford formulae of at most 5 variables with a desktop computer. A faster but incomplete algorithm is used to produce "hard" 5 variables 3CNF formulae though a stochastic greedy search. It allowed us to find formulae that can be refuted by producing clauses of at most 3 literals, but whose all minimal refutations contain at least one clause of 4 literals.

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES
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Reconnaissance de la Forme 3D et Estimation de la Profondeur Implémentation sur FPGA Spartan 3A d'un SoC pour la Vision 3D (Shape From Focus) Problém…

2007

Le terme de « vision 3D » ou « de numérisation 3D », est apparu à la fin des années 1990, pour désigner des techniques d'acquisition de mesures tridimensionnelle sur des surfaces, techniques ayant la caractéristique de donner des nuages de points denses et importants dont l'ordre de grandeur est de quelques dizaines à plusieurs millions de points. Le nuage de points représente en fait l'information de l'image de profondeur et selon des différents traitements à l'image on peut aboutir à un ordre de précision de la reconstitution de l'objet ou scène en 3D. La vision 3D demeure une méthodologie de base pour réassurer le mécanisme de reconstitution des images tridimensionnelles. Outre les besoi…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][SPI.NANO] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics[SPI.TRON] Engineering Sciences [physics]/Electronics[INFO.INFO-ES] Computer Science [cs]/Embedded Systems[INFO.INFO-PL] Computer Science [cs]/Programming Languages [cs.PL]
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Topological properties of cellular automata on trees

2012

We prove that there do not exist positively expansive cellular automata defined on the full k-ary tree shift (for k>=2). Moreover, we investigate some topological properties of these automata and their relationships, namely permutivity, surjectivity, preinjectivity, right-closingness and openness.

[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)FOS: Physical sciencesComputer Science - Formal Languages and Automata Theory0102 computer and information sciences[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]Computational Complexity (cs.CC)Topology01 natural scienceslcsh:QA75.5-76.95[INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]0101 mathematicsF.1.1;F.1.2;F.1.3MathematicsCellular Automata and Lattice Gases (nlin.CG)lcsh:Mathematics010102 general mathematicsCellular automaton tree shift expansivity permutivity right-closingness opennesslcsh:QA1-939Nonlinear Sciences::Cellular Automata and Lattice GasesCellular automatonAutomatonComputer Science - Computational Complexity010201 computation theory & mathematicsTree (set theory)lcsh:Electronic computers. Computer scienceF.1.2F.1.3ExpansiveNonlinear Sciences - Cellular Automata and Lattice GasesF.1.1Computer Science::Formal Languages and Automata TheoryComputer Science - Discrete Mathematics
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XA2C Framework for XML Alteration/Adaptation

2010

XML has crossed the borders of software engineering and has spread to other areas such as e-commerce, identification, information storage, instant messaging and others. It is used to communicate crucial data over these domains. Thus, allowing non-expert programmers to manipulate and control their XML data is essential. In the literature, this issue has been dealt with from 3 perspectives: (i) XML alteration/adaptation techniques requiring a certain level of expertise to be implemented and are not unified yet, (ii) mashups, which are not formally defined yet and are not specific to XML data, and (iii) XML-oriented visual languages based on structural transformations and data extraction mainl…

[INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL]DatabaseProgramming languagecomputer.internet_protocolComputer science02 engineering and technologycomputer.software_genre[INFO.INFO-PL] Computer Science [cs]/Programming Languages [cs.PL]Set (abstract data type)Identification (information)Visual languageData extraction020204 information systems[ INFO.INFO-PL ] Computer Science [cs]/Programming Languages [cs.PL]0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingMashupControl (linguistics)Adaptation (computer science)computerXMLComputingMilieux_MISCELLANEOUS
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Towards an XML Adaptation/Alteration Control Framework

2010

International audience

[INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL][ INFO.INFO-PL ] Computer Science [cs]/Programming Languages [cs.PL]ComputingMilieux_MISCELLANEOUS[INFO.INFO-PL] Computer Science [cs]/Programming Languages [cs.PL]
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OntoVersionGraph : a change management methodology dedicated to formal ontologies and their user views in a collaborative context

2014

The world changes over time, impacting the knowledge of every subdomain it contains. Therefore systems describing the knowledge of a certain domain should be able to consider changes occurred to keep its knowledge representation up-to-date. Formal ontologies are one of them: they explicitly and formally represent the knowledge of a domain in all its forms and modes of existence. Collaboratively developed, a formal ontology allows the domain users to understand each other by sharing the same terminology despite the different assumptions they have on the domain conceptualization. However, due to its completeness, the complexity of its conceptualization can sometimes make the domain knowledge …

[INFO.INFO-WB] Computer Science [cs]/WebOntology VersioningFormal OntologyGestion du changement dans les ontologiesDescription LogicOntologie formelleOntology EvolutionLogique de descriptionKnowledge ManagementOntoVersionGraphEvolution d'ontologieOntology Change ManagementGestion du changementVersioning d'ontologieWeb sémantique[INFO.INFO-MO] Computer Science [cs]/Modeling and SimulationSemantic WebOWL[INFO.INFO-FL] Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]
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Asymptotic bit frequency in Fibonacci words

2021

It is known that binary words containing no $k$ consecutive 1s are enumerated by $k$-step Fibonacci numbers. In this note we discuss the expected value of a random bit in a random word of length $n$ having this property.

[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO]FOS: Computer and information sciences[INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM]Mathematics::CombinatoricsDiscrete Mathematics (cs.DM)[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]FOS: MathematicsMathematics - CombinatoricsComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Combinatorics (math.CO)[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]Computer Science::Formal Languages and Automata TheoryComputer Science - Discrete Mathematics
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